Development Of Content Based Book Recommendation System Using Genetic Algorithm

Aygun C., YILDIZ O.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.1025-1028 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2016.7495917
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1025-1028
  • Keywords: recommendation systems, content based filtering, genetic algorithm
  • Gazi University Affiliated: Yes


Trend of internet, makes presentation of right content to right user will inevitably. For this purpose, recommendation systems are widely used for the areas of music, book, movie, touristic travel plannig, e-commerce, education and many more. The approach of recommender systems are based on the ground of users history of choices, likings and reviews, each of which is interpreted in order to project the future choices of the user. In this study, a novel and strong recommender system for the books is proposed. A content based book recommendation application was developed which makes recommendations according to user's taste and choices.